These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

184 related articles for article (PubMed ID: 34300076)

  • 1. Exploring Factors for Predicting Anxiety Disorders of the Elderly Living Alone in South Korea Using Interpretable Machine Learning: A Population-Based Study.
    Byeon H
    Int J Environ Res Public Health; 2021 Jul; 18(14):. PubMed ID: 34300076
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Developing a Predictive Model for Depressive Disorders Using Stacking Ensemble and Naive Bayesian Nomogram: Using Samples Representing South Korea.
    Byeon H
    Front Psychiatry; 2021; 12():773290. PubMed ID: 35069283
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Machine learning-based discrimination of panic disorder from other anxiety disorders.
    Na KS; Cho SE; Cho SJ
    J Affect Disord; 2021 Jan; 278():1-4. PubMed ID: 32942220
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Machine learning approaches to predict peak demand days of cardiovascular admissions considering environmental exposure.
    Qiu H; Luo L; Su Z; Zhou L; Wang L; Chen Y
    BMC Med Inform Decis Mak; 2020 May; 20(1):83. PubMed ID: 32357880
    [TBL] [Abstract][Full Text] [Related]  

  • 5. An Ensemble Approach for the Prediction of Diabetes Mellitus Using a Soft Voting Classifier with an Explainable AI.
    Kibria HB; Nahiduzzaman M; Goni MOF; Ahsan M; Haider J
    Sensors (Basel); 2022 Sep; 22(19):. PubMed ID: 36236367
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Comparison of Machine Learning Algorithms in the Prediction of Hospitalized Patients with Schizophrenia.
    Góngora Alonso S; Marques G; Agarwal D; De la Torre Díez I; Franco-Martín M
    Sensors (Basel); 2022 Mar; 22(7):. PubMed ID: 35408133
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Machine learning algorithms to predict early pregnancy loss after in vitro fertilization-embryo transfer with fetal heart rate as a strong predictor.
    Liu L; Jiao Y; Li X; Ouyang Y; Shi D
    Comput Methods Programs Biomed; 2020 Nov; 196():105624. PubMed ID: 32623348
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Depression Prediction by Using Ecological Momentary Assessment, Actiwatch Data, and Machine Learning: Observational Study on Older Adults Living Alone.
    Kim H; Lee S; Lee S; Hong S; Kang H; Kim N
    JMIR Mhealth Uhealth; 2019 Oct; 7(10):e14149. PubMed ID: 31621642
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Predictive Modeling for Frailty Conditions in Elderly People: Machine Learning Approaches.
    Tarekegn A; Ricceri F; Costa G; Ferracin E; Giacobini M
    JMIR Med Inform; 2020 Jun; 8(6):e16678. PubMed ID: 32442149
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Interpretable machine learning for early neurological deterioration prediction in atrial fibrillation-related stroke.
    Kim SH; Jeon ET; Yu S; Oh K; Kim CK; Song TJ; Kim YJ; Heo SH; Park KY; Kim JM; Park JH; Choi JC; Park MS; Kim JT; Choi KH; Hwang YH; Kim BJ; Chung JW; Bang OY; Kim G; Seo WK; Jung JM
    Sci Rep; 2021 Oct; 11(1):20610. PubMed ID: 34663874
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A data-driven approach to predicting diabetes and cardiovascular disease with machine learning.
    Dinh A; Miertschin S; Young A; Mohanty SD
    BMC Med Inform Decis Mak; 2019 Nov; 19(1):211. PubMed ID: 31694707
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Predicting mortality of patients with acute kidney injury in the ICU using XGBoost model.
    Liu J; Wu J; Liu S; Li M; Hu K; Li K
    PLoS One; 2021; 16(2):e0246306. PubMed ID: 33539390
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Comparison of supervised machine learning classification techniques in prediction of locoregional recurrences in early oral tongue cancer.
    Alabi RO; Elmusrati M; Sawazaki-Calone I; Kowalski LP; Haglund C; Coletta RD; Mäkitie AA; Salo T; Almangush A; Leivo I
    Int J Med Inform; 2020 Apr; 136():104068. PubMed ID: 31923822
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A model for predicting fall risks of hospitalized elderly in Taiwan-A machine learning approach based on both electronic health records and comprehensive geriatric assessment.
    Chu WM; Kristiani E; Wang YC; Lin YR; Lin SY; Chan WC; Yang CT; Tsan YT
    Front Med (Lausanne); 2022; 9():937216. PubMed ID: 36016999
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Comparing Multiple Machine Learning Algorithms and Metrics for Estrogen Receptor Binding Prediction.
    Russo DP; Zorn KM; Clark AM; Zhu H; Ekins S
    Mol Pharm; 2018 Oct; 15(10):4361-4370. PubMed ID: 30114914
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Machine learning prediction of dropping out of outpatients with alcohol use disorders.
    Park SJ; Lee SJ; Kim H; Kim JK; Chun JW; Lee SJ; Lee HK; Kim DJ; Choi IY
    PLoS One; 2021; 16(8):e0255626. PubMed ID: 34339461
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Predictive modeling of blood pressure during hemodialysis: a comparison of linear model, random forest, support vector regression, XGBoost, LASSO regression and ensemble method.
    Huang JC; Tsai YC; Wu PY; Lien YH; Chien CY; Kuo CF; Hung JF; Chen SC; Kuo CH
    Comput Methods Programs Biomed; 2020 Oct; 195():105536. PubMed ID: 32485511
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Application of machine learning approaches for osteoporosis risk prediction in postmenopausal women.
    Shim JG; Kim DW; Ryu KH; Cho EA; Ahn JH; Kim JI; Lee SH
    Arch Osteoporos; 2020 Oct; 15(1):169. PubMed ID: 33097976
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Social Reminiscence in Older Adults' Everyday Conversations: Automated Detection Using Natural Language Processing and Machine Learning.
    Ferrario A; Demiray B; Yordanova K; Luo M; Martin M
    J Med Internet Res; 2020 Sep; 22(9):e19133. PubMed ID: 32866108
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Predicting future onset of depression among community dwelling adults in the Republic of Korea using a machine learning algorithm.
    Na KS; Cho SE; Geem ZW; Kim YK
    Neurosci Lett; 2020 Mar; 721():134804. PubMed ID: 32014516
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.